车联网协作通信移动接入点选择算法
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摘要
考虑车联网节点高速运动导致的频繁切换和通信中断问题,提出了基于移动接入点的车联网模型,在基于移动接入点的协作通信5G无蜂窝车联网方案中,给出了选择车辆担任协作移动接入点的三个简单有效的原则,以构建5G无蜂窝移动接入网络.仿真实验比较了不同移动接入点选择方法下移动接入点的空间特性分布以及系统的连通性,并给出不同要求下的最佳方案.理论分析和仿真结果表明:采用基于距离的移动接入点选择算法,相比简单的随机移动接入点选择方法,提高了车联网的连通性,而基于顺序的移动接入点选择算法则能提供最好的负载均衡特性.
Considering frequent handovers and communication outages caused by the high-speed movement of vehicle nodes,three simple and practical principles were given for selecting vehicles as moving access points(APs) to construct 5G cell-less mobile access networks.Distribution of moving APs,and connectivity and load balancing of networks between different moving AP selection methods were analyzed and compared in the simulation. Simulation results indicate that the distance based moving AP selection algorithm improves connectivity of the vehicular networks compared to the simple random moving AP selection method,while the sequence-based moving AP selection method provides the best load balancing performance.
Considering frequent handovers and communication outages caused by the high-speed movement of vehicle nodes,three simple and practical principles were given for selecting vehicles as moving access points(APs) to construct 5G cell-less mobile access networks.Distribution of moving APs,and connectivity and load balancing of networks between different moving AP selection methods were analyzed and compared in the simulation. Simulation results indicate that the distance based moving AP selection algorithm improves connectivity of the vehicular networks compared to the simple random moving AP selection method,while the sequence-based moving AP selection method provides the best load balancing performance.
引文
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[2]GE X,CHEN H,MAO G,et al.Vehicular communications for 5G cooperative small cell networks[J].IEEETransactions on Vehicular Technology,2016,65(10):7882-7894.
[3]GE X,LI H,MAO G,et al.5G software defined vehicular networks[J].IEEE Communications Magazine,2017,55(7):87-93.
[4]LI C,ZHANG Y,LUAN T H,et al.Building transmission backbone for highway vehicular networks:framework and analysis[J].IEEE Transactions on Vehicular Technology,2018,67(9):8709-8722.
[5]LV P,WANG X,XUE X,et al.SWIMMING:seamless and efficient Wi Fi-based internet access from moving vehicles[J].IEEE Transactions on Mobile Computing,2015,14(5):1086-1097.
[6]JANGSHER S,LI V K.Backhaul resource allocation for existing and newly arrived moving small cells[J].IEEETransactions on Vehicular Technology,2017,66(4):3211-3219.
[7]FETEIHA M F,HASSANEIN H S.Enabling cooperative relaying VANET clouds over LTE-A networks[J].IEEETransactions on Vehicular Technology,2015,64(4):1468-1479.
[8]FAROOQ J,BRO L,KARSTENSEN R,et al.Performance evaluation of a multi-radio,multi-hop ad-hoc radio communication network for communications-based train control(CBTC)[J].IEEE Transactions on Vehicular Technology,2018,67(1):56-71.
[9]GE X.Ultra-reliable low-latency communications in autonomous vehicular networks[J/OL].IEEE Transactions on Vehicular Technology,2019,DOI:10.1109/TVT.2019.2903793.
[10]HAN T,GE X,WANG L J,et al.5G converged cell-less communications in smart cities[J].IEEE Communications Magazine,2017,55(3):44-59.
[11]FU Y,LI C,LUAN T H,et al.Infrastructure-cooperative algorithm for effective intersection collision avoidance[J].Transportation Research:Emerging Technologies,2018,89:188-204.
[12]GE X,CHENG H,GUIZANI M,et al.5G wireless backhaul networks:challenges and research advances[J].IEEE Network,2014,28(6):6-11.
[13]PATHAK P H,FENG X,HU P,at al.Visible light communication,networking,and sensing:a survey,potential and challenges[J].IEEE Communications Surveys Tutorials,2015,17(4):2047-2077.